Sorghum–Soybean Intercropping for Yield Benefit: A Systematic Review and Exploratory Meta-Analysis

Sorghum (Sorghum bicolor L.)–soybean (Glycine max L.) intercropping produces a significant yield advantage over monocropping. However, a comprehensive synthesis is lacking to quantify yield benefits. This article provides a systematic review, a primary meta-analysis, and an exploratory meta-analysis to quantify the land productivity advantage of sorghum–soybean intercropping, explore the impact of planting configuration, and critically assess the methodological robustness of the existing literature. A random-effect meta-analysis of Land Equivalent Ratio (LER), with a primary analysis on studies with reported and calculated variance only (n = 23 treatments from six studies) and an exploratory analysis on the full dataset, which includes studies with imputed variances (n = 103 treatments from 21 studies). Group-specific analyses examined row configurations. The exploratory meta-analysis showed a pooled LER of 1.31 (95% CI: 1.25–1.36), suggesting an approximately 31% average land productivity gain (LER > 1). Configuration beyond a 1:1 row ratio showed potential for higher yield gains (LER = 1.43 for 2:2). Critically, over 75% of studies required variance data imputation. The analysis, limited to studies with reported or calculated variance data, showed a higher LER of 1.55 (95% CI: 1.41–1.69), but with extreme heterogeneity (I2 = 96.2%). This highlights substantial outcome variability and inconsistent statistical reporting in the literature, limiting robust synthesis. Future research must prioritize long-term, well-replicated experiments with reported standardized variance and configuration evaluations to enable precise, locally relevant intercropping recommendations.

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Publication Details

Journal
Agronomy
Published
2026-01-22
DOI
https://doi.org/10.3390/agronomy16020276
Citations
1
Primary Topic
Agronomic Practices and Intercropping Systems
Type
article
Field-Weighted Citation Impact
51.34

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article

Sorghum–Soybean Intercropping for Yield Benefit: A Systematic Review and Exploratory Meta-Analysis

Deborah Joy Blessing, Gu Yan, Shuang Liu, Yujie Xu et al.
1 citations
Agronomy
Agronomic Practices and Intercropping Systems
51.34
article

Sorghum–Soybean Intercropping for Yield Benefit: A Systematic Review and Exploratory Meta-Analysis

Deborah Joy Blessing, Gu Yan, Shuang Liu, Yujie Xu, Wenhao Duan, Wanrong Xia, Jia Liu
article en
1 citations

Abstract

Sorghum (Sorghum bicolor L.)–soybean (Glycine max L.) intercropping produces a significant yield advantage over monocropping. However, a comprehensive synthesis is lacking to quantify yield benefits. This article provides a systematic review, a primary meta-analysis, and an exploratory meta-analysis to quantify the land productivity advantage of sorghum–soybean intercropping, explore the impact of planting configuration, and critically assess the methodological robustness of the existing literature. A random-effect meta-analysis of Land Equivalent Ratio (LER), with a primary analysis on studies with reported and calculated variance only (n = 23 treatments from six studies) and an exploratory analysis on the full dataset, which includes studies with imputed variances (n = 103 treatments from 21 studies). Group-specific analyses examined row configurations. The exploratory meta-analysis showed a pooled LER of 1.31 (95% CI: 1.25–1.36), suggesting an approximately 31% average land productivity gain (LER > 1). Configuration beyond a 1:1 row ratio showed potential for higher yield gains (LER = 1.43 for 2:2). Critically, over 75% of studies required variance data imputation. The analysis, limited to studies with reported or calculated variance data, showed a higher LER of 1.55 (95% CI: 1.41–1.69), but with extreme heterogeneity (I2 = 96.2%). This highlights substantial outcome variability and inconsistent statistical reporting in the literature, limiting robust synthesis. Future research must prioritize long-term, well-replicated experiments with reported standardized variance and configuration evaluations to enable precise, locally relevant intercropping recommendations.

AgronomyVol. 16(2)
Jilin Agricultural University (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 1%
Agronomic Practices and Intercropping Systems
51.34
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